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researcher

W. Hou

4 papers hereh-index 191.8k citations54 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • astro-ph.GA1
  • astro-ph.HE1
  • astro-ph.SR1
  • cs.CL1
same name
  • W. Hou — 36 papers, h 21
  • W. Hou — 9 papers, h 6
  • W. Hou — 5 papers, h 2
  • W. Hou — 5 papers, h 5
  • W. Hou — 3 papers, h 77
  • W. Hou — 2 papers, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

astro-ph.SR2026

KIC 6464285: A Solar-type Eclipsing Binary in a Hierarchical Triple System with Quasi-periodic Out-of-eclipse Modulations

Fang-Bin Meng, Li-Ying Zhu, Sheng-Bang Qian +10

We present the first detailed analysis of the solar-type triple system KIC 6464285. Combining long-term, high-precision photometry from Kepler, TESS, and ZTF with low-resolution sp…

astro-ph.HE2026

Evidence for neutrino emission from X-ray Bright Seyfert Galaxies in the Southern Hemisphere using Enhanced Starting Track Events with IceCube

R. Abbasi, M. Ackermann, J. Adams +428

IceCube recently reported the observation of TeV neutrinos from the nearby Seyfert galaxy NGC~1068, and the corresponding neutrino flux is significantly higher than the upper limit…

cs.CL2026

Spec-o3: A Tool-Augmented Vision-Language Agent for Rare Celestial Object Candidate Vetting via Automated Spectral Inspection

Minghui Jia, Qichao Zhang, Ali Luo +5

Due to the limited generalization and interpretability of deep learning classifiers, The final vetting of rare celestial object candidates still relies on expert visual inspection-…

astro-ph.GA2025

Scalable Stellar Parameter Inference Using Python-based LASP: From CPU Optimization to GPU Acceleration

Jun-Chao Liang, Yin-Bi Li, A-Li Luo +13

To enhance the efficiency, scalability, and cross-survey applicability of stellar parameter inference in large spectroscopic datasets, we present a modular, parallelized Python fra…

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